Introducing Glow: An Open-Source Toolkit for Large-Scale Genomic Analysis


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Glow is an open-source toolkit used in population genetics. The project is an industry collaboration between Databricks and the Regeneron Genetics Center. Our mission is to bridge bioinformatics and data engineering, by integrating it into the Apache Spark ecosystem. Spark is the de facto standard for data engineering in industry, and is used by every major tech company. By bringing these two fields together, Glow is enabling engineers and scientists to work together effectively to scale genomics data analytics to population levels.
Learn more at projectglow.io
Speakers:
William Brandler is a data scientist with a background in whole genome sequencing data analytics. He is now focused on enabling scientists and engineers to build solutions that will have immediate real-world impacts
Karen Feng is a software engineer at Databricks, where she builds solutions for healthcare and life sciences. Before Databricks, she developed statistical algorithms for genomics at Princeton University.

Introducing Glow: An Open-Source Toolkit for Large-Scale Genomic Analysis